Overview  AI and machine learning roles are seeing the fastest growth globally, with employers prioritizing expertise in LLMs ...

FraudGuard AI is a machine learning-based web application developed to detect suspicious and fraudulent transactions. The system uses a trained ML model along with rule-based checks to classify ...

P. aeruginosa is a highly adaptable bacterium and a major cause of hospital-acquired pneumonia (HAP) or ventilator-associated pneumonia (VAP) cases, which can lead to further spread of infection, ...

Abstract: This is a real-time face recognition and monitoring system that can be used in applications such as online exam proctoring and security. It uses the face recognition and OpenCV libraries of ...

Abstract: Credit card fraud cares with the illegal use of master card information for purchases. Credit card transactions are often accomplished either physically or digitally. In the manual ...

This project converts a Jupyter-based machine learning model into a modular, cloud-ready data engineering pipeline using Python, AWS S3, and PostgreSQL. It enables automated data ingestion, ...

Information systems professors at BYU have created a technology using JavaScript that can detect online identity fraud simply by measuring interaction behaviors like keystroke speed. The detection ...

Business fraud is real. According to a report by the Association of Certified Fraud Examiners, “U.S. Businesses will lose an average of 5% of their gross revenues to fraud.” One of the most common ...

One area of focus for the bank is using advanced artificial intelligence to detect business-email compromise. In Ryan Schmiedl's work protecting JPMorgan Chase from fraud of all kinds, business-email ...

The online gambling market is undeniably booming. However, this exponential growth also fostered an environment for hackers to target betting sites and players. Even though gambling companies follow ...